v0.2.0
microsoft/graphragv0.2.0Jul 25, 2024by AlonsoGuevara
AI Summary
A minor release introducing prompt tuning enhancements and various fixes. It adds content-based KNN for few-shot examples, dynamic community report rating, and rate limiting. It also fixes several configuration and LLM connection issues.
Key Highlights
- Added content-based KNN for selecting prompt tune few shot examples
- Added dynamic community report rating to the prompt tuning engine
- Added Minute-based Rate Limiting and fixed RPM/TPM settings
- Added CLI flag to overlay default values onto a provided config
- Fixed an issue where base OpenAI embeddings can't work with Azure OpenAI LLM
New Features
- Added content-based KNN for selecting prompt tune few shot examples
- Added dynamic community report rating to the prompt tuning engine
- Added language support to prompt tuning
- Added llm params to local and global search
- Added N parameter support
- Added support for non-open ai model config to prompt tune
Full Release Notes
## 0.2.0 - minor: Add content-based KNN for selecting prompt tune few shot examples - minor: Add dynamic community report rating to the prompt tuning engine - patch: Add Minute-based Rate Limiting and fix rpm, tpm settings - patch: Add N parameter support - patch: Add cli flag to overlay default values onto a provided config. - patch: Add exception handling on file load - patch: Add language support to prompt tuning - patch: Add llm params to local and global search - patch: Fix broken prompt tuning link on docs - patch: Fix delta none on query calls - patch: Fix docsite base url - patch: Fix encoding model parameter on prompt tune - patch: Fix for --limit exceeding the dataframe length - patch: Fix for Ruff 0.5.2 - patch: Fixed an issue where base OpenAI embeddings can't work with Azure OpenAI LLM - patch: Modify defaults for CHUNK_SIZE, CHUNK_OVERLAP and GLEANINGS to reduce time and LLM calls - patch: fix community_report doesn't work in settings.yaml - patch: fix llm response content is None in query - patch: fix the organization parameter is ineffective during queries - patch: remove duplicate file read - patch: support non-open ai model config to prompt tune - patch: use binary io processing for all file io operations **Full Changelog**: https://github.com/microsoft/graphrag/compare/v0.1.1...v0.2.0